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Suppose We Know That the Proportion of Objects in a Population

Question 24

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Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of n = 40 using a normal approximation? A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of . B) Because is small here, the sampling distribution of should not be assumed to be approximately normal. C) Because ≤ 0.5, the sampling distribution of should not be assumed to be approximately normal. D) If n < 5, then a normal approximation is not appropriate. ​ n = 40 using a normal approximation?


A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of n = 40 using a normal approximation? A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of . B) Because is small here, the sampling distribution of should not be assumed to be approximately normal. C) Because ≤ 0.5, the sampling distribution of should not be assumed to be approximately normal. D) If n < 5, then a normal approximation is not appropriate. ​ .
B) Because Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of n = 40 using a normal approximation? A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of . B) Because is small here, the sampling distribution of should not be assumed to be approximately normal. C) Because ≤ 0.5, the sampling distribution of should not be assumed to be approximately normal. D) If n < 5, then a normal approximation is not appropriate. ​ is small here, the sampling distribution of Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of n = 40 using a normal approximation? A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of . B) Because is small here, the sampling distribution of should not be assumed to be approximately normal. C) Because ≤ 0.5, the sampling distribution of should not be assumed to be approximately normal. D) If n < 5, then a normal approximation is not appropriate. ​ should not be assumed to be approximately normal.
C) Because Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of n = 40 using a normal approximation? A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of . B) Because is small here, the sampling distribution of should not be assumed to be approximately normal. C) Because ≤ 0.5, the sampling distribution of should not be assumed to be approximately normal. D) If n < 5, then a normal approximation is not appropriate. ​ ≤ 0.5, the sampling distribution of Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of n = 40 using a normal approximation? A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of . B) Because is small here, the sampling distribution of should not be assumed to be approximately normal. C) Because ≤ 0.5, the sampling distribution of should not be assumed to be approximately normal. D) If n < 5, then a normal approximation is not appropriate. ​ should not be assumed to be approximately normal.
D) If n Suppose we know that the proportion of objects in a population that have a particular characteristic of interest is 0.10.Are there any concerns if we want to calculate probabilities for the sampling distribution of n = 40 using a normal approximation? A) Because nis large, our only concern with using a normal approximation will be the small amount of variability in the sampling distribution of . B) Because is small here, the sampling distribution of should not be assumed to be approximately normal. C) Because ≤ 0.5, the sampling distribution of should not be assumed to be approximately normal. D) If n < 5, then a normal approximation is not appropriate. ​ < 5, then a normal approximation is not appropriate.
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